This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
June 2007 (vol. 18 no. 6)
pp. 835-848

Abstract—Although users of high-performance computing are most interested in raw performance, both energy and power consumption have become critical concerns. One approach to lowering energy and power is to use high-performance cluster nodes that have several power-performance states so that the energy-time trade-off can be dynamically adjusted. This paper analyzes the energy-time trade-off of a wide range of applications—serial and parallel—on a power-scalable cluster. We use a cluster of frequency and voltage-scalable AMD-64 nodes, each equipped with a power meter. We study the effects of memory and communication bottlenecks via direct measurement of time and energy. We also investigate metrics that can, at runtime, predict when each type of bottleneck occurs. Our results show that, for programs that have a memory or communication bottleneck, a power-scalable cluster can save significant energy with only a small time penalty. Furthermore, we find that, for some programs, it is possible to both consume less energy and execute in less time by increasing the number of nodes while reducing the frequency-voltage setting of each node.

Index Terms:
High-performance computing, power-aware computing.
Citation:
Vincent W. Freeh, David K. Lowenthal, Feng Pan, Nandini Kappiah, Rob Springer, Barry L. Rountree, Mark E. Femal, "Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications," IEEE Transactions on Parallel and Distributed Systems, vol. 18, no. 6, pp. 835-848, June 2007, doi:10.1109/TPDS.2007.1026
Usage of this product signifies your acceptance of the Terms of Use.